Best Database Management Systems (DBMS) for Docker

Compare the Top Database Management Systems (DBMS) that integrate with Docker as of July 2025

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This a list of Database Management Systems (DBMS) that integrate with Docker. Use the filters on the left to add additional filters for products that have integrations with Docker. View the products that work with Docker in the table below.

What are Database Management Systems (DBMS) for Docker?

A database management system (DBMS) is software that allows users to store, organize, and manage data efficiently. It provides structured methods for data retrieval, modification, and security while ensuring consistency and integrity. DBMS supports multiple users and applications, enabling controlled access through query languages and interfaces. Different types of DBMS exist, including relational, NoSQL, hierarchical, and object-oriented systems, each designed for specific data needs. These systems are essential for handling large volumes of data in various industries and applications. Compare and read user reviews of the best Database Management Systems (DBMS) for Docker currently available using the table below. This list is updated regularly.

1

Xano

Xano

Xano provides a fully-managed scaleable infrastructure to power your backend. On top of that security, you can quickly build the business logic that powers your backend without a single line of code or use one of our pre-made templates to launch quickly without sacrificing scale or security. Build custom API endpoints without a single line of code. Accelerate time to market using our out-of-the-box CRUD operations and Marketplace extensions and templates! Your API comes “ready-to-use” so you can immediately connect to any frontend and focus on your business logic. Everything is also automatically documented in Swagger so connecting to a frontend is a breeze. Xano uses PostgreSQL which provides the flexibility of a relational database along with the Big data needs of a NoSQL solution. Add features to your backend in a few clicks or start with ready-made templates and extensions to jumpstart your project.

1 Rating

Starting Price: $29 per month

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2

SingleStore

SingleStore

SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.

1 Rating

Starting Price: $0.69 per hour

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3

YDB

YDB

Entrust YDB with keeping your application state regardless of how large or frequently modified it is. Handling petabytes of data and millions of transactions per second is not an issue. Build analytical reports based on data you store in YDB with performance comparable to database management systems purpose-built for this use case. No compromises on consistency and availability are necessary. Use the YDB topics feature to reliably send data between your applications or consume change data capture feed from regular tables. Exactly-once and at-least-once semantics are available to choose from. YDB is designed to work in three availability zones, ensuring availability even if the whole availability zone goes offline. It recovers automatically after a disk, server, or data center failure with minimum latency disruptions for applications.

Starting Price: Free

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4

SQL Server Data Tools (SSDT)

Microsoft

SQL Server Data Tools (SSDT) transforms database development by introducing a ubiquitous, declarative model that spans all the phases of database development inside Visual Studio. You can use SSDT Transact-SQL design capabilities to build, debug, maintain, and refactor databases. You can work with a database project, or directly with a connected database instance on or off-premise. Developers can use familiar Visual Studio tools for database development. Tools such as: code navigation, IntelliSense, language support that parallels what is available for C# and Visual Basic, platform-specific validation, debugging, and declarative editing in the Transact-SQL editor. SSDT also provides a visual Table Designer for creating and editing tables in either database projects or connected database instances. While you are working on your database projects in a team-based environment, you can use version control for all the files.

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